Machine Learning
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Bias-Variance Tradeoff
Quick Definition
The tension between model simplicity and complexity errors
Full Definition
The tension between model error from oversimplifying bias and error from overfitting variance.
Examples
model selection, ensemble methods, hyperparameter tuning
Related Terms
overfitting
underfitting
model-complexity
More Machine Learning Terms
UMAP
Fast dimensionality reduction preserving local and global structure
Lasso Regression
Regularized regression using L1 penalty for feature selection
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Semi-Supervised Learning
Combining small labeled datasets with large unlabeled data
Gaussian Mixture Model
Probabilistic model using multiple Gaussian distributions
Gradient Boosting
Sequential ensemble method correcting previous model errors